如何使用flask将模型部署为服务

import jieba


class JiebaModel:
    def load_model(self):
        self.jieba_model = jieba.lcut

    def generate_result(self, text):
        return self.jieba_model(text, cut_all=False)

# -*-coding:utf-8-*-
from flask import Flask, request, Response, abort
from flask_cors import CORS
# from ast import literal_eval
import time
import sys
import json
import traceback

from model import JiebaModel

app = Flask(__name__)
CORS(app) # 允许所有路由上所有域使用CORS

@app.route("/", methods=['POST', 'GET'])
def inedx():
    return '分词程序正在运行中'

@app.route("/split_words", methods=['POST', 'GET'])
def get_result():
    if request.method == 'POST':
        text = request.data.decode("utf-8")
    else:
        text = request.args['text']

    try:
        start = time.time()
        print("用户输入",text)
        res = jiebaModel.generate_result(text)
        end = time.time()
        print('分词耗时：', end-start)
        print('分词结果：', res)
        result = {'code':'200','msg':'响应成功','data':res}
    except Exception as e:
        print(e)
        result_error = {'errcode': -1}
        result = json.dumps(result_error, indent=4, ensure_ascii=False)
        # 这里用于捕获更详细的异常信息
        exc_type, exc_value, exc_traceback = sys.exc_info()
        lines = traceback.format_exception(exc_type, exc_value, exc_traceback)
        # 提前退出请求
        abort(Response("Failed!\n" + '\n\r\n'.join('' + line for line in lines)))
    return Response(str(result), mimetype='application/json')


if __name__ == "__main__":
    jiebaModel = JiebaModel()
    jiebaModel.load_model()
    app.run(host='0.0.0.0', port=1314, threaded=False)

import requests

def get_split_word_result(text):
    res = requests.post('http://{}:{}/split_words'.format('本机ip', 1314), data=str(text).encode('utf-8'))
    print(res.text)

get_split_word_result("我爱北京天安门")